DBMS > Atos Standard Common Repository vs. Drizzle vs. Google Cloud Firestore vs. Linter

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. Google Cloud Firestore vs. Linter

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	Linter  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.	RDBMS for high security requirements
Primary database model	Document store Key-value store	Relational DBMS	Document store	Relational DBMS
Secondary database models				Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 7.36 Rank #53   Overall #9   Document stores	Score 0.12 Rank #350   Overall #152   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		firebase.google.com/­products/­firestore	linter.ru
Technical documentation			firebase.google.com/­docs/­firestore
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Google	relex.ru
Initial release	2016	2008	2017	1990
Current release	1703	7.2.4, September 2012
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++		C and C++
Server operating systems	Linux	FreeBSD Linux OS X	hosted	AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes		no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes with proprietary extensions	no	yes
APIs and other access methods	LDAP	JDBC	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	Go Java JavaScript JavaScript (Node.js) Objective-C Python	C C# C++ Java Perl PHP Python Qt Ruby Tcl
Server-side scripts Stored procedures	no	no	yes, Firebase Rules & Cloud Functions	yes proprietary syntax with the possibility to convert from PL/SQL
Triggers	yes	no hooks for callbacks inside the server can be used.	yes, with Cloud Functions	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	Multi-source replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	Using Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	yes	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Drizzle	Google Cloud Firestore	Linter
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all
Recent citations in the news			Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Google launches Cloud Firestore, a new document database for app developers 3 October 2017, TechCrunch Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available 8 February 2019, InfoQ.com Firestore and Python | NoSQL on Google Cloud 7 August 2020, Towards Data Science provided by Google News

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